Amit Gupta

Engineered a sophisticated predictive analytics solution targeting employee attrition. Conducted extensive data processing, leveraging a suite of advanced ML models in Python, fine-tuning their parameters for optimal performance. Presented comprehensive findings to stakeholders and played a pivotal role in shaping dashboard design strategies. Led the development of a bias detection solution using advanced NLP and ML techniques in Python. Conducted exhaustive research to curate a specialized dataset capturing nuanced biases across gender, age, and education domains, tailored to the company's unique landscape. Thoroughly trained models with strategically tagged data to ensure peak performance. Conducted gender analysis for a prominent jewelry manufacturer, employing rigorous statistical tests to discern sales performance variations across diverse demographic segments. Led and significantly contributed to the dashboard design for client proposals, actively guiding their development and enriching the storytelling process with insightful, data-driven narratives.

For a banking and finance client, facilitated the integration of diverse, disorganized datasets sourced from multiple tables, harmonizing them into a structured format. Devised meticulous criteria to discern and filter out data records lacking crucial information, significantly reducing overall data volume while enhancing quality. Employed advanced techniques including regular expressions (regex) and Natural Language Processing (NLP) for named entity recognition, effectively eliminating extraneous text and extracting pertinent entities from the retained data. Engineered a Python script automating the intricate data refinement processes, resulting in the seamless generation of a comprehensive, sanitized report. The solution not only conserved valuable client resources and time but also fortified the groundwork for robust and precise data analyses.

Conducted a comprehensive survey assessment to evaluate the level of employee inclusivity for a social networking company. From conception to execution, spearheaded the entire process, encompassing data collection, cleansing, and preparation, followed by rigorous mathematical calculations, statistical analyses, and in-depth data exploration. This culminated in the generation of actionable insights and the derivation of an Inclusivity Score based on the identified drivers. Led the assessment of culture transformation for a pharmaceutical company, employing a range of advanced statistical techniques and data modeling approaches. Guided by a persona-driven methodology, delved into employee mindsets and behaviors, assigning personas to individuals based on various drivers. This analysis enabled the identification of critical hotspots and the formulation of strategic recommendations. Developed an automated report utilizing Python and R to evaluate the assessments created by a job listing company, encompassing various statistical analyses, including reliability assessment, factor analysis, descriptive statistics, and variance explained.

Led a team of 5 members, directly collaborating with clients and interfacing with the onshore team. Engaged in multiple projects involving requirement gathering, data collection and creation, data pre-processing and testing, end-to-end testing, and project documentation. Conducted manual and automated testing to prevent data errors, tracked and reported defects efficiently to maintain project integrity, and manage risks. Communicated effectively with stakeholders, providing timely project status updates to support efficient project management and ensure smooth progress.